Artificial Intelligence in Industry 4.0 and 5G Technology

2Decision Support Methodology for Scheduling Orders in Additive Manufacturing

Juan Jesús Tello Rodríguez¹ and Lopez‐I Fernando²

¹Universidad Autonoma de Nuevo León, Facultad de Ingeniería Mecánica y Eléctrica (FIME), Posgrado en Ingeniería en Sistemas (PISIS), Centro de Investigación y Desarrollo Tecnológico (CIDET), Av. Pedro de Alba S/N, San Nicolás de los Garza, Nuevo León, 66451, México

²Autonomous University of Nuevo León, Department of Mechanical and Electronic Engineering, San Nicolás de los Garza, Nuevo León, México

2.1 Introduction

Additive manufacturing is a family of technologies related to the manufacturing of a three‐dimensional solid from a computerized model by depositing thin layers of material until the part is shaped [1]. It is considered one of the most important emerging technologies at present because it makes possible to attain benefits that are harmoniously coupled with Industry 4.0 and the digitization of manufacturing [2].

The ease of designing parts with Computer‐aided design/Computer‐aided manufacturing (CAD/CAM) software, cheaper development, and variety of materials (metals, paper, ceramics, polymers, etc.), improvements in scanners to “copy” pieces, sculptures, or even living organisms and body parts, among other factors [3] have given a great boost to additive manufacturing technology. In 2019, The additive manufacturing industry had a global increase of 21%, equivalent to almost 12 billion dollars [4]. Despite this increase, it is crucial for ...